Results 111 to 120 of about 14,132 (263)

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

Advanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan, Luca Camillini, Francesca Borghi, Giovanni Galafassi, Paolo Milani   +4 more
wiley   +1 more source

Nonmonotonic Probabilistic Logics between Model−Theoretic Probabilistic Logic and Probabilistic Logic under Coherence

, 2016
Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theoretic probabilistic entailment. Moreover, probabilistic entailment under coherence is a generalization of default entailment in System P. In this paper, we continue this line of research by presenting probabilistic generalizations of more sophisticated ...
openaire   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Materials Design Principles for Large Memory Windows: Coercive Voltage Engineering in Ferroelectric– Dielectric Heterostructures

Advanced Electronic Materials, EarlyView.
Coercive voltage enhancement in hafnia‐based ferroelectric–dielectric heterostructures is shown to originate from leakage‐governed voltage division between the ferroelectric and dielectric layers. Through experiments, circuit modeling, and defect‐based simulations, a universal framework is established to engineer large memory windows without altering ...
Prasanna Venkatesan, Hari Jayasankar, Salma Soliman, Priyankka Ravikumar, Lance Fernandes, Chinsung Park, Amrit Garlapati, Chengyang Zhang, Sanghyun Kang, Shimeng Yu, Suman Datta, Asif Khan, Mengkun Tian, Zheng Wang, Kijoon Kim, Kwangyou Seo, Kwangsoo Kim, Wanki Kim, Daewon Ha, Luca Larcher, Gaurav Thareja, Andrea Padovani   +21 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Probabilistic logic analysis of the highly heterogeneous spatiotemporal HFRS incidence distribution in Heilongjiang province (China) during 2005-2013. [PDF]

PLoS Negl Trop Dis, 2019
He J, Christakos G, Wu J, Jankowski P, Langousis A, Wang Y, Yin W, Zhang W.   +7 more
europepmc   +1 more source

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

Advanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim, Heeju Park, Hae‐Yong Kim, Eunryeol Lee, Heewon Kim, Soeul Lee, Jinyeong Choe, Jiwon Seo, Hyeon‐Jong Lee, Hojoon Kim, Jemin Yeon, Yoon Seok Jung, Kyung‐Wan Nam, Dong‐Hwa Seo   +13 more
wiley   +1 more source